
Sovereign, Local-First AI for Cyber Defense
On-prem RAG + local LLMs. Structured JSON outputs for SIEM/SOAR, fully audited, no default exfiltration.









Data never leaves your network by default. Complete sovereignty with optional external enrichment that's off by default and fully audited when enabled.
RAG pipelines deliver structured JSON outputs optimized for automation. Contract-valid schemas ensure seamless SIEM/SOAR integration.
Containerized deployment with pilot ready in ~30 days. Structured 30/60/90 plan ensures systematic rollout and optimization.
Up to 75% lower energy consumption at ≈135W max power draw. No additional cooling infrastructure required.
API, Chat, and Dashboard interfaces provide multiple access points for different user personas and integration requirements.
Central operator enforcing policies and routing, ensuring governance and security controls across all operations.
Qwen/DeepSeek via Ollama runtime with optional Mistral delta enrichment for enhanced reasoning capabilities.
Security-tuned encoders feeding Qdrant vector DB with Smart Buckets for curated document management.
RBAC, immutable audit logs, and data residency controls ensure compliance and operational security.

OSINT feeds, telemetry streams, and private documents enter through secured ingestion points.
Convert to time-stamped JSON with provenance tracking and confidence scoring for audit trails.
Store in Qdrant vector database with metadata filters enabling precise retrieval operations.
Local LLMs analyze context with optional external enrichment for enhanced decision-making.
Generate contract-valid JSON for SIEM/SOAR integration with approval workflows via Slack/Teams.
Advanced document intelligence with ATT&CK-mapped responses. JSON outputs designed specifically for automation workflows, ensuring seamless integration with existing security tools.
Specialized processors for IOC extraction, CVE explanation, and policy synthesis. Built-in understanding of cybersecurity context and terminology.
Qwen/DeepSeek models via Ollama runtime with secured meta-prompts and strict JSON contracts. Air-gapped model import capabilities for maximum security.

Receive alerts and logs from SIEM platforms, normalize data format, and establish correlation baselines for rapid triage.
Retrieve related CTI including IPs, CVEs, and ATT&CK mappings from local knowledge base for comprehensive threat context.
Generate proposed remediation actions with confidence scores, push to SOAR platforms like Tracecat or Ansible for execution.
Route high-impact actions through Slack/Teams approval workflows, execute approved remediation, update ticketing systems automatically.
Continuous risk modeling, policy alignment, and decision logging. Generate risk register entries with likelihood/impact scoring and board-ready reports with KPI dashboards.
Standardized client onboarding with isolated Smart Buckets per tenant. Shared playbooks via SOAR with consolidated dashboards and strict RBAC controls.
Air-gapped investigation of disk/memory artifacts with chain-of-custody logging, timeline reconstruction, and IOC extraction to knowledge base.
Hypothesis-driven hunts across telemetry and CTI. Generate hunt queries for Elastic/Zeek/EDR with ATT&CK mapping and playbook suggestions.
Docker-Compose deployment with Ollama runtime and Qdrant vector database. CPU-only viable with optional GPU acceleration. Energy-efficient at ≈135W maximum power consumption.
Median query response time
Automation compatibility rate
Per analyst efficiency gain


SeverusPRO Technical Solution